Data Scientist ( Analytics ) _ D297

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 week ago
4-6 years
Bengaluru / Bangalore, Karnataka
work from office

Posted: 1 week ago
|
Applicants: 149+
Job Description
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Job Description

Mandatory
  • 4+ years of experience in the field of Data Science and Analytics preferably in CPG or Manufacturing Domain
  • Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
  • Strong programming skills and experience in using Python for Data Science
  • Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed
  • Deep Knowledge of statistical and machine learning algorithms for Time Series Forecasting
  • Experience in time series forecasting at scale (Like XG Boost, CatBoost, Light GBM , Neural Networks etc)
  • Experience in custom EDA (Exploratory Data Analysis) and Output Validations
  • Experience in building scalable ML frameworks for demand sensing including Identifying and collecting relevant input data, feature engineering, tuning, and testing.
  • Experience in applied analytical methods in the field of Supply chain and planning like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
  • Strong presentation and communications skills
Nice To Have
  • o9 Platform Experience
  • Experience with SQL, databases and ETL tools or similar is optional but preferred
  • Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark or related Bid Data technologies
  • Experience in implementing supply chain planning applications will be a plus
What You Will Do

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  • Design and operationalize various kinds of descriptive, predictive and prescriptive analytics and data science relevant in the supply chain planning space.
  • Understand business; identify areas of improvement opportunities; collect and analyze data; build models in Python; and present results & insights using the o9 platform.
  • Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series etc.) to their real-world advantages/drawbacks
  • Develop and deploy models for demand sensing/forecasting, Anomaly detection, Simulation and stochastic models, Market Intelligence etc
  • Use latest advancements in AI/ML to solve business problems
  • Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
  • Application of common business metrics and the ability to generate new ones as needed
  • Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects

Skills

Data MiningPythonData AnalysisData ScienceEtlMachine LearningPrescriptive AnalyticsAi/mlAnalyticsAiMlSqlNeural NetworksFeature EngineeringData Scientist

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Important dates & deadlines?

Application Deadline

29 Nov 26, 04:22 PM IST

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Data Scientist ( Analytics ) _ D297

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